Continued Development and Maintenance of the Neuroimaging in Python Project

描述（由申请人提供）：本拨款建议继续维护、测试和评估Python中的神经成像（NiPy）项目。特别是，我们建议将最佳实践和经过验证的方法应用于软件设计、构建和实现，以将NiPy的适用性扩展到更大的神经成像研究社区。通过解决神经成像研究和计算科学的并行成就和相互依赖性，我们将使现有的NiPy用户社区受益，并增加NiPy吸引更多开发人员和用户的潜力。我们将现代化、重构和进一步开发NiPy，使其成为易于修改和扩展的软件环境，并且能够随着用户社区需求的变化而进行修复和发展。与现有的NiPy开发者社区密切合作，我们的目标是在基础设施、体系结构、互操作性、可用性和可再现性方面改进和增强NiPy。

DESCRIPTION (provided by applicant): This grant proposes the continued maintenance, testing, and evaluation of the Neuroimaging in Python (NiPy) project. In particular, we propose to apply best practices and proven methods for software design, construction, and implementation to extend the applicability of NiPy to the larger neuroimaging research community. By addressing the parallel achievements and increased interdependence of neuroimaging research and computing sciences, we will benefit the existing NiPy user community as well as increasing the potential for NiPy to attract significantly more developers and users. We will modernize, refactor, and further develop NiPy into an easy to modify and extend software environment with the ability to be repaired and evolved as the needs of the community of users change. Working closely with the existing NiPy developer community, we aim to improve and enhance NiPy in terms of infrastructure, architecture, interoperability, usability, and reproducibility.